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Time Series Compressibility and Privacy

Summary: Explores the trade-off between time-series compressibility and privacy, formalizing perturbations that mimic original data to avoid detection and preserve structure. Real-data experiments and streaming-ready schemes illustrate practical trade-offs and on-the-fly data hiding with a tunable leakage-utility balance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9599
Venue
VLDB
Year
2007
Pagerank
6.7714995e-05
Overall Rank
3,783 | 73.69%
DOI
-

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